Evidence map›Paper›PMID 31167894›Full record

ArticleDiabetes care2019

The Influence of Type 2 Diabetes-Associated Factors on Type 1 Diabetes.

Maria J Redondo, Carmella Evans-Molina, Andrea K Steck, Mark A Atkinson, Jay Sosenko

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  10. Data Mining Framework for Discovering and Clustering Phenotypes of Atypical Diabetes.The Journal of clinical endocrinology and metabolism · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 1 country.

Maria J RedondoBaylor College of Medicine, Texas Children's Hospital, Houston, TX redondo@bcm.edu.ORCID 0000-0001-5871-4645
Carmella Evans-MolinaDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0001-7764-8663
Andrea K SteckBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO.ORCID 0000-0002-5931-9484
Mark A AtkinsonDepartments of Pathology and Pediatrics, University of Florida Diabetes Institute, Gainesville, FL.
Jay SosenkoUniversity of Miami, Miami, FL.ORCID 0000-0002-7204-8367
Baylor College of Medicine · USRichard L. Roudebush VA Medical Center · USUniversity of Colorado Denver · USUniversity of Florida · USUniversity of Miami · US

Funding

Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 1997 to 2026
$32.9M
Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina · 2015 to 2026
$17.4M
K12 Career DevelopmentK12DK094712 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI STECK, ANDREA · 2011 to 2021
$4.5M
Single-Cell Analyses of Human Islets in T1D Using Highly Multiplexed ImagingUC4DK108132 · NIDDK · UNIVERSITY OF FLORIDA · PI ATKINSON, MARK A., BODENMILLER, BERND · 2015 to 2015
$3.6M
Mechanisms of Beta Cell Function in Health and DiseaseR01DK093954 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA · 2011 to 2019
$3.5M
Texas Children's Hospital and Baylor College of Medicine TrialNet Clinical CenterU01DK103180 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI REDONDO, MARIA JOSE · 2014 to 2018
$783k
Modeling Islet Dysfunction During Type 1 Diabetes ProgressionR21DK119800 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA, FERRANNINI, ELEUTERIO · 2019 to 2020
$385k
Regulation of Calcium Homeostasis in the Pancreatic Beta CellI01BX001733 · VA · RLR VA MEDICAL CENTER · PI Carmella Evans-Molina · 2013 to 2026
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BLRD VA I01 BX001733NIAID NIH HHS P01 AI042288NIDDK NIH HHS K12 DK094712NIDDK NIH HHS P30 DK097512NIDDK NIH HHS R01 DK093954NIDDK NIH HHS R21 DK119800NIDDK NIH HHS U01 DK103180NIDDK NIH HHS UC4 DK108132
6 · The paper itself

Abstract

Current efforts to prevent progression from islet autoimmunity to type 1 diabetes largely focus on immunomodulatory approaches. However, emerging data suggest that the development of diabetes in islet autoantibody-positive individuals may also involve factors such as obesity and genetic variants associated with type 2 diabetes, and the influence of these factors increases with age at diagnosis. Although these factors have been linked with metabolic outcomes, particularly through their impact on β-cell function and insulin sensitivity, growing evidence suggests that they might also interact with the immune system to amplify the autoimmune response. The presence of factors shared by both forms of diabetes contributes to disease heterogeneity and thus has important implications. Characteristics that are typically considered to be nonimmune should be incorporated into predictive algorithms that seek to identify at-risk individuals and into the designs of trials for disease prevention. The heterogeneity of diabetes also poses a challenge in diagnostic classification. Finally, after clinically diagnosing type 1 diabetes, addressing nonimmune elements may help to prevent further deterioration of β-cell function and thus improve clinical outcomes. This Perspectives in Care article highlights the role of type 2 diabetes-associated genetic factors (e.g., gene variants at transcription factor 7-like 2 [

Indexed as

AutoantibodiesAutoimmunityDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Disease ProgressionHumansInsulin ResistanceInsulin-Secreting CellsIslets of LangerhansObesityRisk FactorsTranscription Factor 7-Like 2 ProteinAutoantibodiesTCF7L2 protein, humanTranscription Factor 7-Like 2 Protein

Identifiers

PMID31167894
PMCPMC6647039
OpenAlexW2948025279

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.